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Formal modelling of Complex Event Processing: A generic algorithm and its application to a manufacturing line

机译:复杂事件处理的形式化建模:通用算法及其在生产线中的应用

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Identifying the significant and most needed information in huge enterprises at the right time not only helps in decision making, but also plays an important role in overall performance and profit making of enterprises. Complex Event Processing (CEP) is a developing method of processing different events from multiple sources and filtering them to produce complex events. This paper provides a methodology to model CEP using Timed Net Condition Event System (TNCES), a Petri Nets derived formalism. Petri Nets is a graphical, mathematical modelling language used to analyze and describe discrete-event dynamic systems. The biggest advantage of representing CEP in TNCES is that it opens paths to the validation of the events filtering and decision making in different level of enterprise.
机译:在正确的时间识别大型企业中最重要和最需要的信息,不仅有助于决策,而且对于企业的整体绩效和获利也起着重要作用。复杂事件处理(CEP)是一种处理来自多个源的不同事件并对其进行过滤以生成复杂事件的开发方法。本文提供了一种使用Petri网派生的形式化定时网络条件事件系统(TNCES)对CEP进行建模的方法。 Petri Nets是一种图形化的数学建模语言,用于分析和描述离散事件动态系统。在TNCES中代表CEP的最大优势在于,它为验证不同企业级别的事件过滤和决策提供了途径。

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